{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:12:56Z","timestamp":1747195976873,"version":"3.40.5"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["4242033"],"award-info":[{"award-number":["4242033"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,14]]},"DOI":"10.1109\/isbi60581.2025.10981179","type":"proceedings-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:38:51Z","timestamp":1747071531000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Medical Text and Image Reasoning for Radiation Oncology via Large Language Model"],"prefix":"10.1109","author":[{"given":"Ashish","family":"Beary","sequence":"first","affiliation":[{"name":"Katz School of Science and Health, Yeshiva University,Department of Graduate Computer Science and Engineering,New York,United States"}]},{"given":"Likun","family":"Xia","sequence":"additional","affiliation":[{"name":"Capital Normal University,Beijing,China"}]},{"given":"Yading","family":"Yuan","sequence":"additional","affiliation":[{"name":"Columbia University Irving Medical Center,Department of Radiation Oncology,New York,United States"}]},{"given":"Honggang","family":"Wang","sequence":"additional","affiliation":[{"name":"Katz School of Science and Health, Yeshiva University,Department of Graduate Computer Science and Engineering,New York,United States"}]},{"given":"Ming","family":"Ma","sequence":"additional","affiliation":[{"name":"Katz School of Science and Health, Yeshiva University,Department of Graduate Computer Science and Engineering,New York,United States"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/su15075930"},{"key":"ref2","article-title":"Evaluating LLM-Generated Multimodal Diagnosis from Medical Images and Symptom Analysis","author":"Panagoulias","year":"2024","journal-title":"arXiv preprint"},{"key":"ref3","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"22199","article-title":"Large language models are zero-shot reasoners","volume":"35","author":"Kojima","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Large language models are visual reasoning coordinators","volume":"36","author":"Chen","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref6","article-title":"Superglue: A stickier benchmark for general-purpose language understanding systems","volume":"32","author":"Wang","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Language models are few-shot learners","author":"Brown","year":"2020","journal-title":"arXiv preprint"},{"article-title":"Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting","volume-title":"International conference on learning representations.","author":"Liu","key":"ref8"},{"key":"ref9","article-title":"Radonc-gpt: A large language model for radiation oncology","author":"Liu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref10","article-title":"Lora: Low-rank adaptation of large language models","author":"Hu","year":"2021","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Qlora: Efficient finetuning of quantized llms","volume":"36","author":"Dettmers","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","article-title":"A prompt pattern catalog to enhance prompt engineering with chatgpt","author":"White","year":"2023","journal-title":"arXiv preprint"},{"key":"ref13","article-title":"The Radiation Oncology NLP Database","author":"Liu","year":"2024","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Benchmarking ChatGPT-4 on ACR radiation oncology in-training (TXIT) exam and red journal gray zone cases: Potentials and challenges for AI-assisted medical education and decision making in radiation oncology","author":"Huang","year":"2023","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2025,4,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2025,4,17]]}},"container-title":["2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10980665\/10980666\/10981179.pdf?arnumber=10981179","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:20:52Z","timestamp":1747117252000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10981179\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,14]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/isbi60581.2025.10981179","relation":{},"subject":[],"published":{"date-parts":[[2025,4,14]]}}}